Publications

AIAA (planned)
First-author study on airfoil buffet boundary detection with unsupervised ML and real-time predictive modeling.

AIAA J.
First-author research on unsupervised learning for buffet detection using DMD and model reduction. Early detection of aerodynamic buffet using a sliding-window DMD framework.
Journal PDF DOI Download Paper (Google Drive)

JPO (arXiv)
First-author publication; DMD-based analysis of oceanographic data for tidal flow characterization.
DOI arXiv Abstract Download PDF Data & Code (GitHub)

APS DFD 2020
Conference talk: Predicting aerodynamic buffet onset using DMD and Koopman analysis on RANS simulations. Presented at APS DFD 2020.

Dynamics Days 2020
DMD analysis of 3D tidal flows through the Strait of Gibraltar, presented at Dynamics Days 2020.

Dynamics Days 2020; MCCNNY 2020
Conference proceedings on DMD-based prediction of buffeting onset in 2D airfoils; presented at Dynamics Days 2020 and MCCNNY 2020.

APS DFD 2018
APS DFD talk: DMD-based identification of hidden oceanographic features in 3D simulations of the Strait of Gibraltar.

M.Sc. Thesis
Short-term rainfall forecasting in Sri Lanka using artificial neural networks and ground-level data.

B.Sc. Thesis
Long-term survey of lightning casualties in Sri Lanka using archival newspaper data; B.Sc. thesis research at University of Colombo.

SIAM DS23, Portland
Conference paper; sliding-window DMD applied to transonic buffet detection and tracking across different angles of attack.